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Run Llama 2 on local machine | step by step guide
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Llama 2 is available for free, both for research and commercial use.
Llama 2 comes in two flavors, Llama 2 and Llama 2-Chat, the latter of which was fine-tuned for two-way conversations.
Large Language Model Meta AI (LLaMA 1) is the first version of the state-of-the-art foundational large language model that was released by Meta in February this year. It is an impressive collection of foundational models, comprised of models with parameter sixes ranging from 7 billion to 65 billion.
LLaMA 1 stands out due to its extensive training on trillion of tokens.
the LLaMA-13B model outperformed ChatGPT, which has a significantly larger parameter size of 175 billion
Building upon its predecssor, LLaMA, LLaMA 2 brings several enhancements. The pretraining corpus size has been expanded by 40%, allowing the model to learn from a more extensive and diverse set of publicly available data. Additionally, the context length of Llama 2 has been doubled, enabling the model to consider a more extensive context when generating responses, leading to improved output quality and accuracy.
Meta researchers have released variants of Llama 2 and Llama 2-Chat with different parameter sizes, including 7 billion, 13 billion, and 70 billion. These variations cater to various computational requirements and application scenarios, allowing researchers and developers to choose the best-suited model for their specific tasks. This allows startups to access Llama 2 models to create their own machine learning products, including various generative AI applications or AI chatbots like Google’s Bard and OpenAI’s ChatGPT.
#llama #llama2 #meta #largelanguagemodels #generativeai
Llama 2 comes in two flavors, Llama 2 and Llama 2-Chat, the latter of which was fine-tuned for two-way conversations.
Large Language Model Meta AI (LLaMA 1) is the first version of the state-of-the-art foundational large language model that was released by Meta in February this year. It is an impressive collection of foundational models, comprised of models with parameter sixes ranging from 7 billion to 65 billion.
LLaMA 1 stands out due to its extensive training on trillion of tokens.
the LLaMA-13B model outperformed ChatGPT, which has a significantly larger parameter size of 175 billion
Building upon its predecssor, LLaMA, LLaMA 2 brings several enhancements. The pretraining corpus size has been expanded by 40%, allowing the model to learn from a more extensive and diverse set of publicly available data. Additionally, the context length of Llama 2 has been doubled, enabling the model to consider a more extensive context when generating responses, leading to improved output quality and accuracy.
Meta researchers have released variants of Llama 2 and Llama 2-Chat with different parameter sizes, including 7 billion, 13 billion, and 70 billion. These variations cater to various computational requirements and application scenarios, allowing researchers and developers to choose the best-suited model for their specific tasks. This allows startups to access Llama 2 models to create their own machine learning products, including various generative AI applications or AI chatbots like Google’s Bard and OpenAI’s ChatGPT.
#llama #llama2 #meta #largelanguagemodels #generativeai
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